diff options
Diffstat (limited to 'third_party/gpus/cuda_configure.bzl')
| -rw-r--r-- | third_party/gpus/cuda_configure.bzl | 2167 |
1 files changed, 1217 insertions, 950 deletions
diff --git a/third_party/gpus/cuda_configure.bzl b/third_party/gpus/cuda_configure.bzl index de87d96785..e848fa175c 100644 --- a/third_party/gpus/cuda_configure.bzl +++ b/third_party/gpus/cuda_configure.bzl @@ -20,6 +20,7 @@ `/usr/local/cuda`. * `TF_CUDA_COMPUTE_CAPABILITIES`: The CUDA compute capabilities. Default is `3.5,5.2`. + * `PYTHON_BIN_PATH`: The python binary path """ _GCC_HOST_COMPILER_PATH = "GCC_HOST_COMPILER_PATH" @@ -31,6 +32,7 @@ _CUDNN_INSTALL_PATH = "CUDNN_INSTALL_PATH" _TF_CUDA_COMPUTE_CAPABILITIES = "TF_CUDA_COMPUTE_CAPABILITIES" _TF_CUDA_CONFIG_REPO = "TF_CUDA_CONFIG_REPO" _TF_DOWNLOAD_CLANG = "TF_DOWNLOAD_CLANG" +_PYTHON_BIN_PATH = "PYTHON_BIN_PATH" _DEFAULT_CUDA_VERSION = "" _DEFAULT_CUDNN_VERSION = "" @@ -44,12 +46,12 @@ _DEFAULT_CUDA_COMPUTE_CAPABILITIES = ["3.5", "5.2"] # will be used. For example, when looking for the cudart libraries, the first # attempt will be lib64/cudart inside the CUDA toolkit. CUDA_LIB_PATHS = [ - "lib64/", - "lib64/stubs/", - "lib/x86_64-linux-gnu/", - "lib/x64/", - "lib/", - "", + "lib64/", + "lib64/stubs/", + "lib/x86_64-linux-gnu/", + "lib/x64/", + "lib/", + "", ] # Lookup paths for cupti.h, relative to the CUDA toolkit directory. @@ -57,8 +59,8 @@ CUDA_LIB_PATHS = [ # On most systems, the cupti library is not installed in the same directory as # the other CUDA libraries but rather in a special extras/CUPTI directory. CUPTI_HEADER_PATHS = [ - "extras/CUPTI/include/", - "include/cuda/CUPTI/", + "extras/CUPTI/include/", + "include/cuda/CUPTI/", ] # Lookup paths for the cupti library, relative to the @@ -66,25 +68,25 @@ CUPTI_HEADER_PATHS = [ # On most systems, the cupti library is not installed in the same directory as # the other CUDA libraries but rather in a special extras/CUPTI directory. CUPTI_LIB_PATHS = [ - "extras/CUPTI/lib64/", - "lib/x86_64-linux-gnu", - "lib64/", - "extras/CUPTI/libx64/", - "extras/CUPTI/lib/", - "lib/", + "extras/CUPTI/lib64/", + "lib/x86_64-linux-gnu", + "lib64/", + "extras/CUPTI/libx64/", + "extras/CUPTI/lib/", + "lib/", ] # Lookup paths for CUDA headers (cuda.h) relative to the CUDA toolkit directory. CUDA_INCLUDE_PATHS = [ - "include/", - "include/cuda/" + "include/", + "include/cuda/", ] # Lookup paths for cudnn.h relative to the CUDNN install directory. CUDNN_INCLUDE_PATHS = [ - "", - "include/", - "include/cuda/", + "", + "include/", + "include/cuda/", ] # Lookup paths for NVVM libdevice relative to the CUDA directory toolkit. @@ -92,696 +94,841 @@ CUDNN_INCLUDE_PATHS = [ # libdevice implements mathematical functions for GPU kernels, and is provided # in NVVM bitcode (a subset of LLVM bitcode). NVVM_LIBDEVICE_PATHS = [ - "nvvm/libdevice/", - "share/cuda/", + "nvvm/libdevice/", + "share/cuda/", ] # Files used to detect the NVVM libdevice path. NVVM_LIBDEVICE_FILES = [ - # CUDA 9.0 has a single file. - "libdevice.10.bc", + # CUDA 9.0 has a single file. + "libdevice.10.bc", - # CUDA 8.0 has separate files for compute versions 2.0, 3.0, 3.5 and 5.0. - # Probing for one of them is sufficient. - "libdevice.compute_20.10.bc", + # CUDA 8.0 has separate files for compute versions 2.0, 3.0, 3.5 and 5.0. + # Probing for one of them is sufficient. + "libdevice.compute_20.10.bc", ] load("//third_party/clang_toolchain:download_clang.bzl", "download_clang") +load( + "@bazel_tools//tools/cpp:lib_cc_configure.bzl", + "escape_string", + "get_env_var", +) +load( + "@bazel_tools//tools/cpp:windows_cc_configure.bzl", + "find_msvc_tool", + "find_vc_path", + "setup_vc_env_vars", +) + +def _get_python_bin(repository_ctx): + """Gets the python bin path.""" + python_bin = repository_ctx.os.environ.get(_PYTHON_BIN_PATH) + if python_bin != None: + return python_bin + python_bin_name = "python.exe" if _is_windows(repository_ctx) else "python" + python_bin_path = repository_ctx.which(python_bin_name) + if python_bin_path != None: + return str(python_bin_path) + auto_configure_fail("Cannot find python in PATH, please make sure " + + "python is installed and add its directory in PATH, or --define " + + "%s='/something/else'.\nPATH=%s" % ( + _PYTHON_BIN_PATH, + repository_ctx.os.environ.get("PATH", ""), + )) + +def _get_nvcc_tmp_dir_for_windows(repository_ctx): + """Return the tmp directory for nvcc to generate intermediate source files.""" + escaped_tmp_dir = escape_string( + get_env_var(repository_ctx, "TMP", "C:\\Windows\\Temp").replace("\\", "\\\\"), + ) + return escaped_tmp_dir + "\\\\nvcc_inter_files_tmp_dir" + +def _get_msvc_compiler(repository_ctx): + vc_path = find_vc_path(repository_ctx) + return find_msvc_tool(repository_ctx, vc_path, "cl.exe").replace("\\", "/") + +def _get_win_cuda_defines(repository_ctx): + """Return CROSSTOOL defines for Windows""" + + # If we are not on Windows, return empty vaules for Windows specific fields. + # This ensures the CROSSTOOL file parser is happy. + if not _is_windows(repository_ctx): + return { + "%{msvc_env_tmp}": "", + "%{msvc_env_path}": "", + "%{msvc_env_include}": "", + "%{msvc_env_lib}": "", + "%{msvc_cl_path}": "", + "%{msvc_ml_path}": "", + "%{msvc_link_path}": "", + "%{msvc_lib_path}": "", + "%{cxx_builtin_include_directory}": "", + } + + vc_path = find_vc_path(repository_ctx) + if not vc_path: + auto_configure_fail("Visual C++ build tools not found on your machine." + + "Please check your installation following https://docs.bazel.build/versions/master/windows.html#using") + return {} + + env = setup_vc_env_vars(repository_ctx, vc_path) + escaped_paths = escape_string(env["PATH"]) + escaped_include_paths = escape_string(env["INCLUDE"]) + escaped_lib_paths = escape_string(env["LIB"]) + escaped_tmp_dir = escape_string( + get_env_var(repository_ctx, "TMP", "C:\\Windows\\Temp").replace("\\", "\\\\"), + ) + + msvc_cl_path = "windows/msvc_wrapper_for_nvcc.bat" + msvc_ml_path = find_msvc_tool(repository_ctx, vc_path, "ml64.exe").replace("\\", "/") + msvc_link_path = find_msvc_tool(repository_ctx, vc_path, "link.exe").replace("\\", "/") + msvc_lib_path = find_msvc_tool(repository_ctx, vc_path, "lib.exe").replace("\\", "/") + + # nvcc will generate some temporary source files under %{nvcc_tmp_dir} + # The generated files are guranteed to have unique name, so they can share the same tmp directory + escaped_cxx_include_directories = ["cxx_builtin_include_directory: \"%s\"" % _get_nvcc_tmp_dir_for_windows(repository_ctx)] + for path in escaped_include_paths.split(";"): + if path: + escaped_cxx_include_directories.append("cxx_builtin_include_directory: \"%s\"" % path) + + return { + "%{msvc_env_tmp}": escaped_tmp_dir, + "%{msvc_env_path}": escaped_paths, + "%{msvc_env_include}": escaped_include_paths, + "%{msvc_env_lib}": escaped_lib_paths, + "%{msvc_cl_path}": msvc_cl_path, + "%{msvc_ml_path}": msvc_ml_path, + "%{msvc_link_path}": msvc_link_path, + "%{msvc_lib_path}": msvc_lib_path, + "%{cxx_builtin_include_directory}": "\n".join(escaped_cxx_include_directories), + } # TODO(dzc): Once these functions have been factored out of Bazel's # cc_configure.bzl, load them from @bazel_tools instead. # BEGIN cc_configure common functions. def find_cc(repository_ctx): - """Find the C++ compiler.""" - # On Windows, we use Bazel's MSVC CROSSTOOL for GPU build - # Return a dummy value for GCC detection here to avoid error - if _is_windows(repository_ctx): - return "/use/--config=win-cuda --cpu=x64_windows_msvc/instead" - - if _use_cuda_clang(repository_ctx): - target_cc_name = "clang" - cc_path_envvar = _CLANG_CUDA_COMPILER_PATH - if _flag_enabled(repository_ctx, _TF_DOWNLOAD_CLANG): - return "extra_tools/bin/clang" - else: - target_cc_name = "gcc" - cc_path_envvar = _GCC_HOST_COMPILER_PATH - cc_name = target_cc_name - - if cc_path_envvar in repository_ctx.os.environ: - cc_name_from_env = repository_ctx.os.environ[cc_path_envvar].strip() - if cc_name_from_env: - cc_name = cc_name_from_env - if cc_name.startswith("/"): - # Absolute path, maybe we should make this supported by our which function. - return cc_name - cc = repository_ctx.which(cc_name) - if cc == None: - fail(("Cannot find {}, either correct your path or set the {}" + - " environment variable").format(target_cc_name, cc_path_envvar)) - return cc - + """Find the C++ compiler.""" + if _is_windows(repository_ctx): + return _get_msvc_compiler(repository_ctx) + + if _use_cuda_clang(repository_ctx): + target_cc_name = "clang" + cc_path_envvar = _CLANG_CUDA_COMPILER_PATH + if _flag_enabled(repository_ctx, _TF_DOWNLOAD_CLANG): + return "extra_tools/bin/clang" + else: + target_cc_name = "gcc" + cc_path_envvar = _GCC_HOST_COMPILER_PATH + cc_name = target_cc_name + + if cc_path_envvar in repository_ctx.os.environ: + cc_name_from_env = repository_ctx.os.environ[cc_path_envvar].strip() + if cc_name_from_env: + cc_name = cc_name_from_env + if cc_name.startswith("/"): + # Absolute path, maybe we should make this supported by our which function. + return cc_name + cc = repository_ctx.which(cc_name) + if cc == None: + fail(("Cannot find {}, either correct your path or set the {}" + + " environment variable").format(target_cc_name, cc_path_envvar)) + return cc _INC_DIR_MARKER_BEGIN = "#include <...>" - # OSX add " (framework directory)" at the end of line, strip it. _OSX_FRAMEWORK_SUFFIX = " (framework directory)" -_OSX_FRAMEWORK_SUFFIX_LEN = len(_OSX_FRAMEWORK_SUFFIX) -def _cxx_inc_convert(path): - """Convert path returned by cc -E xc++ in a complete path.""" - path = path.strip() - if path.endswith(_OSX_FRAMEWORK_SUFFIX): - path = path[:-_OSX_FRAMEWORK_SUFFIX_LEN].strip() - return path +_OSX_FRAMEWORK_SUFFIX_LEN = len(_OSX_FRAMEWORK_SUFFIX) +def _cxx_inc_convert(path): + """Convert path returned by cc -E xc++ in a complete path.""" + path = path.strip() + if path.endswith(_OSX_FRAMEWORK_SUFFIX): + path = path[:-_OSX_FRAMEWORK_SUFFIX_LEN].strip() + return path def _normalize_include_path(repository_ctx, path): - """Normalizes include paths before writing them to the crosstool. - - If path points inside the 'crosstool' folder of the repository, a relative - path is returned. - If path points outside the 'crosstool' folder, an absolute path is returned. - """ - path = str(repository_ctx.path(path)) - crosstool_folder = str(repository_ctx.path(".").get_child('crosstool')) + """Normalizes include paths before writing them to the crosstool. - if path.startswith(crosstool_folder): - # We drop the path to "$REPO/crosstool" and a trailing path separator. - return path[len(crosstool_folder)+1:] - return path + If path points inside the 'crosstool' folder of the repository, a relative + path is returned. + If path points outside the 'crosstool' folder, an absolute path is returned. + """ + path = str(repository_ctx.path(path)) + crosstool_folder = str(repository_ctx.path(".").get_child("crosstool")) + if path.startswith(crosstool_folder): + # We drop the path to "$REPO/crosstool" and a trailing path separator. + return path[len(crosstool_folder) + 1:] + return path def _get_cxx_inc_directories_impl(repository_ctx, cc, lang_is_cpp): - """Compute the list of default C or C++ include directories.""" - if lang_is_cpp: - lang = "c++" - else: - lang = "c" - result = repository_ctx.execute([cc, "-E", "-x" + lang, "-", "-v"]) - index1 = result.stderr.find(_INC_DIR_MARKER_BEGIN) - if index1 == -1: - return [] - index1 = result.stderr.find("\n", index1) - if index1 == -1: - return [] - index2 = result.stderr.rfind("\n ") - if index2 == -1 or index2 < index1: - return [] - index2 = result.stderr.find("\n", index2 + 1) - if index2 == -1: - inc_dirs = result.stderr[index1 + 1:] - else: - inc_dirs = result.stderr[index1 + 1:index2].strip() - - return [ - _normalize_include_path(repository_ctx, _cxx_inc_convert(p)) - for p in inc_dirs.split("\n") - ] + """Compute the list of default C or C++ include directories.""" + if lang_is_cpp: + lang = "c++" + else: + lang = "c" + result = repository_ctx.execute([cc, "-E", "-x" + lang, "-", "-v"]) + index1 = result.stderr.find(_INC_DIR_MARKER_BEGIN) + if index1 == -1: + return [] + index1 = result.stderr.find("\n", index1) + if index1 == -1: + return [] + index2 = result.stderr.rfind("\n ") + if index2 == -1 or index2 < index1: + return [] + index2 = result.stderr.find("\n", index2 + 1) + if index2 == -1: + inc_dirs = result.stderr[index1 + 1:] + else: + inc_dirs = result.stderr[index1 + 1:index2].strip() + return [ + _normalize_include_path(repository_ctx, _cxx_inc_convert(p)) + for p in inc_dirs.split("\n") + ] def get_cxx_inc_directories(repository_ctx, cc): - """Compute the list of default C and C++ include directories.""" - # For some reason `clang -xc` sometimes returns include paths that are - # different from the ones from `clang -xc++`. (Symlink and a dir) - # So we run the compiler with both `-xc` and `-xc++` and merge resulting lists - includes_cpp = _get_cxx_inc_directories_impl(repository_ctx, cc, True) - includes_c = _get_cxx_inc_directories_impl(repository_ctx, cc, False) + """Compute the list of default C and C++ include directories.""" - includes_cpp_set = depset(includes_cpp) - return includes_cpp + [inc for inc in includes_c - if inc not in includes_cpp_set] + # For some reason `clang -xc` sometimes returns include paths that are + # different from the ones from `clang -xc++`. (Symlink and a dir) + # So we run the compiler with both `-xc` and `-xc++` and merge resulting lists + includes_cpp = _get_cxx_inc_directories_impl(repository_ctx, cc, True) + includes_c = _get_cxx_inc_directories_impl(repository_ctx, cc, False) + includes_cpp_set = depset(includes_cpp) + return includes_cpp + [ + inc + for inc in includes_c + if inc not in includes_cpp_set + ] def auto_configure_fail(msg): - """Output failure message when cuda configuration fails.""" - red = "\033[0;31m" - no_color = "\033[0m" - fail("\n%sCuda Configuration Error:%s %s\n" % (red, no_color, msg)) -# END cc_configure common functions (see TODO above). + """Output failure message when cuda configuration fails.""" + red = "\033[0;31m" + no_color = "\033[0m" + fail("\n%sCuda Configuration Error:%s %s\n" % (red, no_color, msg)) +# END cc_configure common functions (see TODO above). def _host_compiler_includes(repository_ctx, cc): - """Generates the cxx_builtin_include_directory entries for gcc inc dirs. - - Args: - repository_ctx: The repository context. - cc: The path to the gcc host compiler. - - Returns: - A string containing the cxx_builtin_include_directory for each of the gcc - host compiler include directories, which can be added to the CROSSTOOL - file. - """ - inc_dirs = get_cxx_inc_directories(repository_ctx, cc) - inc_entries = [] - for inc_dir in inc_dirs: - inc_entries.append(" cxx_builtin_include_directory: \"%s\"" % inc_dir) - return "\n".join(inc_entries) + """Generates the cxx_builtin_include_directory entries for gcc inc dirs. + + Args: + repository_ctx: The repository context. + cc: The path to the gcc host compiler. + + Returns: + A string containing the cxx_builtin_include_directory for each of the gcc + host compiler include directories, which can be added to the CROSSTOOL + file. + """ + inc_dirs = get_cxx_inc_directories(repository_ctx, cc) + inc_entries = [] + for inc_dir in inc_dirs: + inc_entries.append(" cxx_builtin_include_directory: \"%s\"" % inc_dir) + return "\n".join(inc_entries) def _cuda_include_path(repository_ctx, cuda_config): - """Generates the cxx_builtin_include_directory entries for cuda inc dirs. - - Args: - repository_ctx: The repository context. - cc: The path to the gcc host compiler. - - Returns: - A string containing the cxx_builtin_include_directory for each of the gcc - host compiler include directories, which can be added to the CROSSTOOL - file. - """ - nvcc_path = repository_ctx.path("%s/bin/nvcc%s" % - (cuda_config.cuda_toolkit_path, - ".exe" if cuda_config.cpu_value == "Windows" else "")) - result = repository_ctx.execute([nvcc_path, '-v', - '/dev/null', '-o', '/dev/null']) - target_dir = "" - for one_line in result.stderr.splitlines(): - if one_line.startswith('#$ _TARGET_DIR_='): - target_dir = (cuda_config.cuda_toolkit_path + '/' + - one_line.replace('#$ _TARGET_DIR_=', '') + "/include") - inc_entries = [] - if target_dir != "": - inc_entries.append(" cxx_builtin_include_directory: \"%s\"" % target_dir) - default_include = cuda_config.cuda_toolkit_path + '/include' - inc_entries.append(" cxx_builtin_include_directory: \"%s\"" % - default_include) - return "\n".join(inc_entries) + """Generates the cxx_builtin_include_directory entries for cuda inc dirs. + Args: + repository_ctx: The repository context. + cc: The path to the gcc host compiler. -def _enable_cuda(repository_ctx): - if "TF_NEED_CUDA" in repository_ctx.os.environ: - enable_cuda = repository_ctx.os.environ["TF_NEED_CUDA"].strip() - return enable_cuda == "1" - return False + Returns: + A string containing the cxx_builtin_include_directory for each of the gcc + host compiler include directories, which can be added to the CROSSTOOL + file. + """ + nvcc_path = repository_ctx.path("%s/bin/nvcc%s" % + ( + cuda_config.cuda_toolkit_path, + ".exe" if cuda_config.cpu_value == "Windows" else "", + )) + result = repository_ctx.execute([ + nvcc_path, + "-v", + "/dev/null", + "-o", + "/dev/null", + ]) + target_dir = "" + for one_line in result.stderr.splitlines(): + if one_line.startswith("#$ _TARGET_DIR_="): + target_dir = (cuda_config.cuda_toolkit_path + "/" + + one_line.replace("#$ _TARGET_DIR_=", "") + "/include") + inc_entries = [] + if target_dir != "": + inc_entries.append(" cxx_builtin_include_directory: \"%s\"" % target_dir) + default_include = cuda_config.cuda_toolkit_path + "/include" + inc_entries.append(" cxx_builtin_include_directory: \"%s\"" % + default_include) + return "\n".join(inc_entries) +def _enable_cuda(repository_ctx): + if "TF_NEED_CUDA" in repository_ctx.os.environ: + enable_cuda = repository_ctx.os.environ["TF_NEED_CUDA"].strip() + return enable_cuda == "1" + return False def _cuda_toolkit_path(repository_ctx): - """Finds the cuda toolkit directory. + """Finds the cuda toolkit directory. - Args: - repository_ctx: The repository context. - - Returns: - A speculative real path of the cuda toolkit install directory. - """ - cuda_toolkit_path = _DEFAULT_CUDA_TOOLKIT_PATH - if _CUDA_TOOLKIT_PATH in repository_ctx.os.environ: - cuda_toolkit_path = repository_ctx.os.environ[_CUDA_TOOLKIT_PATH].strip() - if not repository_ctx.path(cuda_toolkit_path).exists: - auto_configure_fail("Cannot find cuda toolkit path.") - return str(repository_ctx.path(cuda_toolkit_path).realpath) + Args: + repository_ctx: The repository context. + Returns: + A speculative real path of the cuda toolkit install directory. + """ + cuda_toolkit_path = _DEFAULT_CUDA_TOOLKIT_PATH + if _CUDA_TOOLKIT_PATH in repository_ctx.os.environ: + cuda_toolkit_path = repository_ctx.os.environ[_CUDA_TOOLKIT_PATH].strip() + if not repository_ctx.path(cuda_toolkit_path).exists: + auto_configure_fail("Cannot find cuda toolkit path.") + return str(repository_ctx.path(cuda_toolkit_path).realpath) def _cudnn_install_basedir(repository_ctx): - """Finds the cudnn install directory.""" - cudnn_install_path = _DEFAULT_CUDNN_INSTALL_PATH - if _CUDNN_INSTALL_PATH in repository_ctx.os.environ: - cudnn_install_path = repository_ctx.os.environ[_CUDNN_INSTALL_PATH].strip() - if not repository_ctx.path(cudnn_install_path).exists: - auto_configure_fail("Cannot find cudnn install path.") - return cudnn_install_path - + """Finds the cudnn install directory.""" + cudnn_install_path = _DEFAULT_CUDNN_INSTALL_PATH + if _CUDNN_INSTALL_PATH in repository_ctx.os.environ: + cudnn_install_path = repository_ctx.os.environ[_CUDNN_INSTALL_PATH].strip() + if not repository_ctx.path(cudnn_install_path).exists: + auto_configure_fail("Cannot find cudnn install path.") + return cudnn_install_path def matches_version(environ_version, detected_version): - """Checks whether the user-specified version matches the detected version. - - This function performs a weak matching so that if the user specifies only the - major or major and minor versions, the versions are still considered matching - if the version parts match. To illustrate: - - environ_version detected_version result - ----------------------------------------- - 5.1.3 5.1.3 True - 5.1 5.1.3 True - 5 5.1 True - 5.1.3 5.1 False - 5.2.3 5.1.3 False - - Args: - environ_version: The version specified by the user via environment - variables. - detected_version: The version autodetected from the CUDA installation on - the system. - - Returns: True if user-specified version matches detected version and False - otherwise. - """ - environ_version_parts = environ_version.split(".") - detected_version_parts = detected_version.split(".") - if len(detected_version_parts) < len(environ_version_parts): - return False - for i, part in enumerate(detected_version_parts): - if i >= len(environ_version_parts): - break - if part != environ_version_parts[i]: - return False - return True - + """Checks whether the user-specified version matches the detected version. + + This function performs a weak matching so that if the user specifies only the + major or major and minor versions, the versions are still considered matching + if the version parts match. To illustrate: + + environ_version detected_version result + ----------------------------------------- + 5.1.3 5.1.3 True + 5.1 5.1.3 True + 5 5.1 True + 5.1.3 5.1 False + 5.2.3 5.1.3 False + + Args: + environ_version: The version specified by the user via environment + variables. + detected_version: The version autodetected from the CUDA installation on + the system. + + Returns: True if user-specified version matches detected version and False + otherwise. + """ + environ_version_parts = environ_version.split(".") + detected_version_parts = detected_version.split(".") + if len(detected_version_parts) < len(environ_version_parts): + return False + for i, part in enumerate(detected_version_parts): + if i >= len(environ_version_parts): + break + if part != environ_version_parts[i]: + return False + return True _NVCC_VERSION_PREFIX = "Cuda compilation tools, release " - def _cuda_version(repository_ctx, cuda_toolkit_path, cpu_value): - """Detects the version of CUDA installed on the system. - - Args: - repository_ctx: The repository context. - cuda_toolkit_path: The CUDA install directory. - - Returns: - String containing the version of CUDA. - """ - # Run nvcc --version and find the line containing the CUDA version. - nvcc_path = repository_ctx.path("%s/bin/nvcc%s" % - (cuda_toolkit_path, - ".exe" if cpu_value == "Windows" else "")) - if not nvcc_path.exists: - auto_configure_fail("Cannot find nvcc at %s" % str(nvcc_path)) - result = repository_ctx.execute([str(nvcc_path), '--version']) - if result.stderr: - auto_configure_fail("Error running nvcc --version: %s" % result.stderr) - lines = result.stdout.splitlines() - version_line = lines[len(lines) - 1] - if version_line.find(_NVCC_VERSION_PREFIX) == -1: - auto_configure_fail( - "Could not parse CUDA version from nvcc --version. Got: %s" % - result.stdout) - - # Parse the CUDA version from the line containing the CUDA version. - prefix_removed = version_line.replace(_NVCC_VERSION_PREFIX, '') - parts = prefix_removed.split(",") - if len(parts) != 2 or len(parts[0]) < 2: - auto_configure_fail( - "Could not parse CUDA version from nvcc --version. Got: %s" % - result.stdout) - full_version = parts[1].strip() - if full_version.startswith('V'): - full_version = full_version[1:] - - # Check whether TF_CUDA_VERSION was set by the user and fail if it does not - # match the detected version. - environ_version = "" - if _TF_CUDA_VERSION in repository_ctx.os.environ: - environ_version = repository_ctx.os.environ[_TF_CUDA_VERSION].strip() - if environ_version and not matches_version(environ_version, full_version): - auto_configure_fail( - ("CUDA version detected from nvcc (%s) does not match " + - "TF_CUDA_VERSION (%s)") % (full_version, environ_version)) - - # We only use the version consisting of the major and minor version numbers. - version_parts = full_version.split('.') - if len(version_parts) < 2: - auto_configure_fail("CUDA version detected from nvcc (%s) is incomplete.") - if cpu_value == "Windows": - version = "64_%s%s" % (version_parts[0], version_parts[1]) - else: - version = "%s.%s" % (version_parts[0], version_parts[1]) - return version + """Detects the version of CUDA installed on the system. + + Args: + repository_ctx: The repository context. + cuda_toolkit_path: The CUDA install directory. + + Returns: + String containing the version of CUDA. + """ + + # Run nvcc --version and find the line containing the CUDA version. + nvcc_path = repository_ctx.path("%s/bin/nvcc%s" % + ( + cuda_toolkit_path, + ".exe" if cpu_value == "Windows" else "", + )) + if not nvcc_path.exists: + auto_configure_fail("Cannot find nvcc at %s" % str(nvcc_path)) + result = repository_ctx.execute([str(nvcc_path), "--version"]) + if result.stderr: + auto_configure_fail("Error running nvcc --version: %s" % result.stderr) + lines = result.stdout.splitlines() + version_line = lines[len(lines) - 1] + if version_line.find(_NVCC_VERSION_PREFIX) == -1: + auto_configure_fail( + "Could not parse CUDA version from nvcc --version. Got: %s" % + result.stdout, + ) + + # Parse the CUDA version from the line containing the CUDA version. + prefix_removed = version_line.replace(_NVCC_VERSION_PREFIX, "") + parts = prefix_removed.split(",") + if len(parts) != 2 or len(parts[0]) < 2: + auto_configure_fail( + "Could not parse CUDA version from nvcc --version. Got: %s" % + result.stdout, + ) + full_version = parts[1].strip() + if full_version.startswith("V"): + full_version = full_version[1:] + + # Check whether TF_CUDA_VERSION was set by the user and fail if it does not + # match the detected version. + environ_version = "" + if _TF_CUDA_VERSION in repository_ctx.os.environ: + environ_version = repository_ctx.os.environ[_TF_CUDA_VERSION].strip() + if environ_version and not matches_version(environ_version, full_version): + auto_configure_fail( + ("CUDA version detected from nvcc (%s) does not match " + + "TF_CUDA_VERSION (%s)") % (full_version, environ_version), + ) + # We only use the version consisting of the major and minor version numbers. + version_parts = full_version.split(".") + if len(version_parts) < 2: + auto_configure_fail("CUDA version detected from nvcc (%s) is incomplete.") + if cpu_value == "Windows": + version = "64_%s%s" % (version_parts[0], version_parts[1]) + else: + version = "%s.%s" % (version_parts[0], version_parts[1]) + return version _DEFINE_CUDNN_MAJOR = "#define CUDNN_MAJOR" _DEFINE_CUDNN_MINOR = "#define CUDNN_MINOR" _DEFINE_CUDNN_PATCHLEVEL = "#define CUDNN_PATCHLEVEL" - def find_cuda_define(repository_ctx, header_dir, header_file, define): - """Returns the value of a #define in a header file. - - Greps through a header file and returns the value of the specified #define. - If the #define is not found, then raise an error. - - Args: - repository_ctx: The repository context. - header_dir: The directory containing the header file. - header_file: The header file name. - define: The #define to search for. - - Returns: - The value of the #define found in the header. - """ - # Confirm location of the header and grep for the line defining the macro. - h_path = repository_ctx.path("%s/%s" % (header_dir, header_file)) - if not h_path.exists: - auto_configure_fail("Cannot find %s at %s" % (header_file, str(h_path))) - result = repository_ctx.execute( - # Grep one more lines as some #defines are splitted into two lines. - ["grep", "--color=never", "-A1", "-E", define, str(h_path)]) - if result.stderr: - auto_configure_fail("Error reading %s: %s" % (str(h_path), result.stderr)) - - # Parse the version from the line defining the macro. - if result.stdout.find(define) == -1: - auto_configure_fail("Cannot find line containing '%s' in %s" % - (define, h_path)) - # Split results to lines - lines = result.stdout.split('\n') - num_lines = len(lines) - for l in range(num_lines): - line = lines[l] - if define in line: # Find the line with define - version = line - if l != num_lines-1 and line[-1] == '\\': # Add next line, if multiline - version = version[:-1] + lines[l+1] - break - # Remove any comments - version = version.split("//")[0] - # Remove define name - version = version.replace(define, "").strip() - # Remove the code after the version number. - version_end = version.find(" ") - if version_end != -1: - if version_end == 0: - auto_configure_fail( - "Cannot extract the version from line containing '%s' in %s" % - (define, str(h_path))) - version = version[:version_end].strip() - return version + """Returns the value of a #define in a header file. + Greps through a header file and returns the value of the specified #define. + If the #define is not found, then raise an error. + + Args: + repository_ctx: The repository context. + header_dir: The directory containing the header file. + header_file: The header file name. + define: The #define to search for. + + Returns: + The value of the #define found in the header. + """ + + # Confirm location of the header and grep for the line defining the macro. + h_path = repository_ctx.path("%s/%s" % (header_dir, header_file)) + if not h_path.exists: + auto_configure_fail("Cannot find %s at %s" % (header_file, str(h_path))) + result = repository_ctx.execute( + # Grep one more lines as some #defines are splitted into two lines. + ["grep", "--color=never", "-A1", "-E", define, str(h_path)], + ) + if result.stderr: + auto_configure_fail("Error reading %s: %s" % (str(h_path), result.stderr)) + + # Parse the version from the line defining the macro. + if result.stdout.find(define) == -1: + auto_configure_fail("Cannot find line containing '%s' in %s" % + (define, h_path)) + + # Split results to lines + lines = result.stdout.split("\n") + num_lines = len(lines) + for l in range(num_lines): + line = lines[l] + if define in line: # Find the line with define + version = line + if l != num_lines - 1 and line[-1] == "\\": # Add next line, if multiline + version = version[:-1] + lines[l + 1] + break + + # Remove any comments + version = version.split("//")[0] + + # Remove define name + version = version.replace(define, "").strip() + + # Remove the code after the version number. + version_end = version.find(" ") + if version_end != -1: + if version_end == 0: + auto_configure_fail( + "Cannot extract the version from line containing '%s' in %s" % + (define, str(h_path)), + ) + version = version[:version_end].strip() + return version def _cudnn_version(repository_ctx, cudnn_install_basedir, cpu_value): - """Detects the version of cuDNN installed on the system. - - Args: - repository_ctx: The repository context. - cpu_value: The name of the host operating system. - cudnn_install_basedir: The cuDNN install directory. - - Returns: - A string containing the version of cuDNN. - """ - cudnn_header_dir = _find_cudnn_header_dir(repository_ctx, - cudnn_install_basedir) - major_version = find_cuda_define( - repository_ctx, cudnn_header_dir, "cudnn.h", _DEFINE_CUDNN_MAJOR) - minor_version = find_cuda_define( - repository_ctx, cudnn_header_dir, "cudnn.h", _DEFINE_CUDNN_MINOR) - patch_version = find_cuda_define( - repository_ctx, cudnn_header_dir, "cudnn.h", _DEFINE_CUDNN_PATCHLEVEL) - full_version = "%s.%s.%s" % (major_version, minor_version, patch_version) - - # Check whether TF_CUDNN_VERSION was set by the user and fail if it does not - # match the detected version. - environ_version = "" - if _TF_CUDNN_VERSION in repository_ctx.os.environ: - environ_version = repository_ctx.os.environ[_TF_CUDNN_VERSION].strip() - if environ_version and not matches_version(environ_version, full_version): - cudnn_h_path = repository_ctx.path("%s/include/cudnn.h" % - cudnn_install_basedir) - auto_configure_fail( - ("cuDNN version detected from %s (%s) does not match " + - "TF_CUDNN_VERSION (%s)") % - (str(cudnn_h_path), full_version, environ_version)) - - # We only use the major version since we use the libcudnn libraries that are - # only versioned with the major version (e.g. libcudnn.so.5). - version = major_version - if cpu_value == "Windows": - version = "64_" + version - return version + """Detects the version of cuDNN installed on the system. + Args: + repository_ctx: The repository context. + cpu_value: The name of the host operating system. + cudnn_install_basedir: The cuDNN install directory. -def _compute_capabilities(repository_ctx): - """Returns a list of strings representing cuda compute capabilities.""" - if _TF_CUDA_COMPUTE_CAPABILITIES not in repository_ctx.os.environ: - return _DEFAULT_CUDA_COMPUTE_CAPABILITIES - capabilities_str = repository_ctx.os.environ[_TF_CUDA_COMPUTE_CAPABILITIES] - capabilities = capabilities_str.split(",") - for capability in capabilities: - # Workaround for Skylark's lack of support for regex. This check should - # be equivalent to checking: - # if re.match("[0-9]+.[0-9]+", capability) == None: - parts = capability.split(".") - if len(parts) != 2 or not parts[0].isdigit() or not parts[1].isdigit(): - auto_configure_fail("Invalid compute capability: %s" % capability) - return capabilities + Returns: + A string containing the version of cuDNN. + """ + cudnn_header_dir = _find_cudnn_header_dir( + repository_ctx, + cudnn_install_basedir, + ) + major_version = find_cuda_define( + repository_ctx, + cudnn_header_dir, + "cudnn.h", + _DEFINE_CUDNN_MAJOR, + ) + minor_version = find_cuda_define( + repository_ctx, + cudnn_header_dir, + "cudnn.h", + _DEFINE_CUDNN_MINOR, + ) + patch_version = find_cuda_define( + repository_ctx, + cudnn_header_dir, + "cudnn.h", + _DEFINE_CUDNN_PATCHLEVEL, + ) + full_version = "%s.%s.%s" % (major_version, minor_version, patch_version) + + # Check whether TF_CUDNN_VERSION was set by the user and fail if it does not + # match the detected version. + environ_version = "" + if _TF_CUDNN_VERSION in repository_ctx.os.environ: + environ_version = repository_ctx.os.environ[_TF_CUDNN_VERSION].strip() + if environ_version and not matches_version(environ_version, full_version): + cudnn_h_path = repository_ctx.path("%s/include/cudnn.h" % + cudnn_install_basedir) + auto_configure_fail( + ("cuDNN version detected from %s (%s) does not match " + + "TF_CUDNN_VERSION (%s)") % + (str(cudnn_h_path), full_version, environ_version), + ) + # We only use the major version since we use the libcudnn libraries that are + # only versioned with the major version (e.g. libcudnn.so.5). + version = major_version + if cpu_value == "Windows": + version = "64_" + version + return version -def get_cpu_value(repository_ctx): - """Returns the name of the host operating system. +def _compute_capabilities(repository_ctx): + """Returns a list of strings representing cuda compute capabilities.""" + if _TF_CUDA_COMPUTE_CAPABILITIES not in repository_ctx.os.environ: + return _DEFAULT_CUDA_COMPUTE_CAPABILITIES + capabilities_str = repository_ctx.os.environ[_TF_CUDA_COMPUTE_CAPABILITIES] + capabilities = capabilities_str.split(",") + for capability in capabilities: + # Workaround for Skylark's lack of support for regex. This check should + # be equivalent to checking: + # if re.match("[0-9]+.[0-9]+", capability) == None: + parts = capability.split(".") + if len(parts) != 2 or not parts[0].isdigit() or not parts[1].isdigit(): + auto_configure_fail("Invalid compute capability: %s" % capability) + return capabilities - Args: - repository_ctx: The repository context. +def get_cpu_value(repository_ctx): + """Returns the name of the host operating system. - Returns: - A string containing the name of the host operating system. - """ - os_name = repository_ctx.os.name.lower() - if os_name.startswith("mac os"): - return "Darwin" - if os_name.find("windows") != -1: - return "Windows" - result = repository_ctx.execute(["uname", "-s"]) - return result.stdout.strip() + Args: + repository_ctx: The repository context. + Returns: + A string containing the name of the host operating system. + """ + os_name = repository_ctx.os.name.lower() + if os_name.startswith("mac os"): + return "Darwin" + if os_name.find("windows") != -1: + return "Windows" + result = repository_ctx.execute(["uname", "-s"]) + return result.stdout.strip() def _is_windows(repository_ctx): - """Returns true if the host operating system is windows.""" - return get_cpu_value(repository_ctx) == "Windows" - -def _lib_name(lib, cpu_value, version="", static=False): - """Constructs the platform-specific name of a library. - - Args: - lib: The name of the library, such as "cudart" - cpu_value: The name of the host operating system. - version: The version of the library. - static: True the library is static or False if it is a shared object. - - Returns: - The platform-specific name of the library. - """ - if cpu_value in ("Linux", "FreeBSD"): - if static: - return "lib%s.a" % lib - else: - if version: - version = ".%s" % version - return "lib%s.so%s" % (lib, version) - elif cpu_value == "Windows": - return "%s.lib" % lib - elif cpu_value == "Darwin": - if static: - return "lib%s.a" % lib - else: - if version: - version = ".%s" % version - return "lib%s%s.dylib" % (lib, version) - else: - auto_configure_fail("Invalid cpu_value: %s" % cpu_value) - - -def _find_cuda_lib(lib, repository_ctx, cpu_value, basedir, version="", - static=False): - """Finds the given CUDA or cuDNN library on the system. - - Args: - lib: The name of the library, such as "cudart" - repository_ctx: The repository context. - cpu_value: The name of the host operating system. - basedir: The install directory of CUDA or cuDNN. - version: The version of the library. - static: True if static library, False if shared object. - - Returns: - Returns a struct with the following fields: - file_name: The basename of the library found on the system. - path: The full path to the library. - """ - file_name = _lib_name(lib, cpu_value, version, static) - for relative_path in CUDA_LIB_PATHS: - path = repository_ctx.path("%s/%s%s" % (basedir, relative_path, file_name)) - if path.exists: - return struct(file_name=file_name, path=str(path.realpath)) - auto_configure_fail("Cannot find cuda library %s" % file_name) + """Returns true if the host operating system is windows.""" + return get_cpu_value(repository_ctx) == "Windows" +def _lib_name(lib, cpu_value, version = "", static = False): + """Constructs the platform-specific name of a library. -def _find_cupti_header_dir(repository_ctx, cuda_config): - """Returns the path to the directory containing cupti.h + Args: + lib: The name of the library, such as "cudart" + cpu_value: The name of the host operating system. + version: The version of the library. + static: True the library is static or False if it is a shared object. - On most systems, the cupti library is not installed in the same directory as - the other CUDA libraries but rather in a special extras/CUPTI directory. + Returns: + The platform-specific name of the library. + """ + if cpu_value in ("Linux", "FreeBSD"): + if static: + return "lib%s.a" % lib + else: + if version: + version = ".%s" % version + return "lib%s.so%s" % (lib, version) + elif cpu_value == "Windows": + return "%s.lib" % lib + elif cpu_value == "Darwin": + if static: + return "lib%s.a" % lib + elif version: + version = ".%s" % version + return "lib%s%s.dylib" % (lib, version) + else: + auto_configure_fail("Invalid cpu_value: %s" % cpu_value) + +def _find_cuda_lib( + lib, + repository_ctx, + cpu_value, + basedir, + version = "", + static = False): + """Finds the given CUDA or cuDNN library on the system. + + Args: + lib: The name of the library, such as "cudart" + repository_ctx: The repository context. + cpu_value: The name of the host operating system. + basedir: The install directory of CUDA or cuDNN. + version: The version of the library. + static: True if static library, False if shared object. + + Returns: + Returns a struct with the following fields: + file_name: The basename of the library found on the system. + path: The full path to the library. + """ + file_name = _lib_name(lib, cpu_value, version, static) + for relative_path in CUDA_LIB_PATHS: + path = repository_ctx.path("%s/%s%s" % (basedir, relative_path, file_name)) + if path.exists: + return struct(file_name = file_name, path = str(path.realpath)) + auto_configure_fail("Cannot find cuda library %s" % file_name) - Args: - repository_ctx: The repository context. - cuda_config: The CUDA config as returned by _get_cuda_config +def _find_cupti_header_dir(repository_ctx, cuda_config): + """Returns the path to the directory containing cupti.h + + On most systems, the cupti library is not installed in the same directory as + the other CUDA libraries but rather in a special extras/CUPTI directory. - Returns: - The path of the directory containing the cupti header. - """ - cuda_toolkit_path = cuda_config.cuda_toolkit_path - for relative_path in CUPTI_HEADER_PATHS: - if repository_ctx.path("%s/%scupti.h" % (cuda_toolkit_path, relative_path)).exists: - return ("%s/%s" % (cuda_toolkit_path, relative_path))[:-1] - auto_configure_fail("Cannot find cupti.h under %s" % ", ".join([cuda_toolkit_path + "/" + s for s in CUPTI_HEADER_PATHS])) + Args: + repository_ctx: The repository context. + cuda_config: The CUDA config as returned by _get_cuda_config + Returns: + The path of the directory containing the cupti header. + """ + cuda_toolkit_path = cuda_config.cuda_toolkit_path + for relative_path in CUPTI_HEADER_PATHS: + if repository_ctx.path("%s/%scupti.h" % (cuda_toolkit_path, relative_path)).exists: + return ("%s/%s" % (cuda_toolkit_path, relative_path))[:-1] + auto_configure_fail("Cannot find cupti.h under %s" % ", ".join([cuda_toolkit_path + "/" + s for s in CUPTI_HEADER_PATHS])) def _find_cupti_lib(repository_ctx, cuda_config): - """Finds the cupti library on the system. - - On most systems, the cupti library is not installed in the same directory as - the other CUDA libraries but rather in a special extras/CUPTI directory. - - Args: - repository_ctx: The repository context. - cuda_config: The cuda configuration as returned by _get_cuda_config. - - Returns: - Returns a struct with the following fields: - file_name: The basename of the library found on the system. - path: The full path to the library. - """ - file_name = _lib_name("cupti", cuda_config.cpu_value, - cuda_config.cuda_version) - cuda_toolkit_path = cuda_config.cuda_toolkit_path - for relative_path in CUPTI_LIB_PATHS: - path = repository_ctx.path( - "%s/%s%s" % (cuda_toolkit_path, relative_path, file_name)) - if path.exists: - return struct(file_name=file_name, path=str(path.realpath)) - - auto_configure_fail("Cannot find cupti library %s" % file_name) + """Finds the cupti library on the system. + + On most systems, the cupti library is not installed in the same directory as + the other CUDA libraries but rather in a special extras/CUPTI directory. + + Args: + repository_ctx: The repository context. + cuda_config: The cuda configuration as returned by _get_cuda_config. + + Returns: + Returns a struct with the following fields: + file_name: The basename of the library found on the system. + path: The full path to the library. + """ + file_name = _lib_name( + "cupti", + cuda_config.cpu_value, + cuda_config.cuda_version, + ) + cuda_toolkit_path = cuda_config.cuda_toolkit_path + for relative_path in CUPTI_LIB_PATHS: + path = repository_ctx.path( + "%s/%s%s" % (cuda_toolkit_path, relative_path, file_name), + ) + if path.exists: + return struct(file_name = file_name, path = str(path.realpath)) + + auto_configure_fail("Cannot find cupti library %s" % file_name) def _find_libs(repository_ctx, cuda_config): - """Returns the CUDA and cuDNN libraries on the system. - - Args: - repository_ctx: The repository context. - cuda_config: The CUDA config as returned by _get_cuda_config - - Returns: - Map of library names to structs of filename and path. - """ - cpu_value = cuda_config.cpu_value - return { - "cuda": _find_cuda_lib("cuda", repository_ctx, cpu_value, cuda_config.cuda_toolkit_path), - "cudart": _find_cuda_lib( - "cudart", repository_ctx, cpu_value, cuda_config.cuda_toolkit_path, - cuda_config.cuda_version), - "cudart_static": _find_cuda_lib( - "cudart_static", repository_ctx, cpu_value, - cuda_config.cuda_toolkit_path, cuda_config.cuda_version, static=True), - "cublas": _find_cuda_lib( - "cublas", repository_ctx, cpu_value, cuda_config.cuda_toolkit_path, - cuda_config.cuda_version), - "cusolver": _find_cuda_lib( - "cusolver", repository_ctx, cpu_value, cuda_config.cuda_toolkit_path, - cuda_config.cuda_version), - "curand": _find_cuda_lib( - "curand", repository_ctx, cpu_value, cuda_config.cuda_toolkit_path, - cuda_config.cuda_version), - "cufft": _find_cuda_lib( - "cufft", repository_ctx, cpu_value, cuda_config.cuda_toolkit_path, - cuda_config.cuda_version), - "cudnn": _find_cuda_lib( - "cudnn", repository_ctx, cpu_value, cuda_config.cudnn_install_basedir, - cuda_config.cudnn_version), - "cupti": _find_cupti_lib(repository_ctx, cuda_config) - } + """Returns the CUDA and cuDNN libraries on the system. + Args: + repository_ctx: The repository context. + cuda_config: The CUDA config as returned by _get_cuda_config -def _find_cuda_include_path(repository_ctx, cuda_config): - """Returns the path to the directory containing cuda.h + Returns: + Map of library names to structs of filename and path. + """ + cpu_value = cuda_config.cpu_value + return { + "cuda": _find_cuda_lib("cuda", repository_ctx, cpu_value, cuda_config.cuda_toolkit_path), + "cudart": _find_cuda_lib( + "cudart", + repository_ctx, + cpu_value, + cuda_config.cuda_toolkit_path, + cuda_config.cuda_version, + ), + "cudart_static": _find_cuda_lib( + "cudart_static", + repository_ctx, + cpu_value, + cuda_config.cuda_toolkit_path, + cuda_config.cuda_version, + static = True, + ), + "cublas": _find_cuda_lib( + "cublas", + repository_ctx, + cpu_value, + cuda_config.cuda_toolkit_path, + cuda_config.cuda_version, + ), + "cusolver": _find_cuda_lib( + "cusolver", + repository_ctx, + cpu_value, + cuda_config.cuda_toolkit_path, + cuda_config.cuda_version, + ), + "curand": _find_cuda_lib( + "curand", + repository_ctx, + cpu_value, + cuda_config.cuda_toolkit_path, + cuda_config.cuda_version, + ), + "cufft": _find_cuda_lib( + "cufft", + repository_ctx, + cpu_value, + cuda_config.cuda_toolkit_path, + cuda_config.cuda_version, + ), + "cudnn": _find_cuda_lib( + "cudnn", + repository_ctx, + cpu_value, + cuda_config.cudnn_install_basedir, + cuda_config.cudnn_version, + ), + "cupti": _find_cupti_lib(repository_ctx, cuda_config), + } - Args: - repository_ctx: The repository context. - cuda_config: The CUDA config as returned by _get_cuda_config +def _find_cuda_include_path(repository_ctx, cuda_config): + """Returns the path to the directory containing cuda.h - Returns: - The path of the directory containing the CUDA headers. - """ - cuda_toolkit_path = cuda_config.cuda_toolkit_path - for relative_path in CUDA_INCLUDE_PATHS: - if repository_ctx.path("%s/%scuda.h" % (cuda_toolkit_path, relative_path)).exists: - return ("%s/%s" % (cuda_toolkit_path, relative_path))[:-1] - auto_configure_fail("Cannot find cuda.h under %s" % cuda_toolkit_path) + Args: + repository_ctx: The repository context. + cuda_config: The CUDA config as returned by _get_cuda_config + Returns: + The path of the directory containing the CUDA headers. + """ + cuda_toolkit_path = cuda_config.cuda_toolkit_path + for relative_path in CUDA_INCLUDE_PATHS: + if repository_ctx.path("%s/%scuda.h" % (cuda_toolkit_path, relative_path)).exists: + return ("%s/%s" % (cuda_toolkit_path, relative_path))[:-1] + auto_configure_fail("Cannot find cuda.h under %s" % cuda_toolkit_path) def _find_cudnn_header_dir(repository_ctx, cudnn_install_basedir): - """Returns the path to the directory containing cudnn.h - - Args: - repository_ctx: The repository context. - cudnn_install_basedir: The cudnn install directory as returned by - _cudnn_install_basedir. + """Returns the path to the directory containing cudnn.h - Returns: - The path of the directory containing the cudnn header. - """ - for relative_path in CUDA_INCLUDE_PATHS: - if repository_ctx.path("%s/%scudnn.h" % (cudnn_install_basedir, relative_path)).exists: - return ("%s/%s" % (cudnn_install_basedir, relative_path))[:-1] - if repository_ctx.path("/usr/include/cudnn.h").exists: - return "/usr/include" - auto_configure_fail("Cannot find cudnn.h under %s" % cudnn_install_basedir) + Args: + repository_ctx: The repository context. + cudnn_install_basedir: The cudnn install directory as returned by + _cudnn_install_basedir. + Returns: + The path of the directory containing the cudnn header. + """ + for relative_path in CUDA_INCLUDE_PATHS: + if repository_ctx.path("%s/%scudnn.h" % (cudnn_install_basedir, relative_path)).exists: + return ("%s/%s" % (cudnn_install_basedir, relative_path))[:-1] + if repository_ctx.path("/usr/include/cudnn.h").exists: + return "/usr/include" + auto_configure_fail("Cannot find cudnn.h under %s" % cudnn_install_basedir) def _find_nvvm_libdevice_dir(repository_ctx, cuda_config): - """Returns the path to the directory containing libdevice in bitcode format. - - Args: - repository_ctx: The repository context. - cuda_config: The CUDA config as returned by _get_cuda_config - - Returns: - The path of the directory containing the CUDA headers. - """ - cuda_toolkit_path = cuda_config.cuda_toolkit_path - for libdevice_file in NVVM_LIBDEVICE_FILES: - for relative_path in NVVM_LIBDEVICE_PATHS: - if repository_ctx.path("%s/%s%s" % (cuda_toolkit_path, relative_path, libdevice_file)).exists: - return ("%s/%s" % (cuda_toolkit_path, relative_path))[:-1] - auto_configure_fail("Cannot find libdevice*.bc files under %s" % cuda_toolkit_path) + """Returns the path to the directory containing libdevice in bitcode format. + + Args: + repository_ctx: The repository context. + cuda_config: The CUDA config as returned by _get_cuda_config + + Returns: + The path of the directory containing the CUDA headers. + """ + cuda_toolkit_path = cuda_config.cuda_toolkit_path + for libdevice_file in NVVM_LIBDEVICE_FILES: + for relative_path in NVVM_LIBDEVICE_PATHS: + if repository_ctx.path("%s/%s%s" % (cuda_toolkit_path, relative_path, libdevice_file)).exists: + return ("%s/%s" % (cuda_toolkit_path, relative_path))[:-1] + auto_configure_fail("Cannot find libdevice*.bc files under %s" % cuda_toolkit_path) def _cudart_static_linkopt(cpu_value): - """Returns additional platform-specific linkopts for cudart.""" - return "" if cpu_value == "Darwin" else "\"-lrt\"," + """Returns additional platform-specific linkopts for cudart.""" + return "" if cpu_value == "Darwin" else "\"-lrt\"," def _get_cuda_config(repository_ctx): - """Detects and returns information about the CUDA installation on the system. - - Args: - repository_ctx: The repository context. - - Returns: - A struct containing the following fields: - cuda_toolkit_path: The CUDA toolkit installation directory. - cudnn_install_basedir: The cuDNN installation directory. - cuda_version: The version of CUDA on the system. - cudnn_version: The version of cuDNN on the system. - compute_capabilities: A list of the system's CUDA compute capabilities. - cpu_value: The name of the host operating system. - """ - cpu_value = get_cpu_value(repository_ctx) - cuda_toolkit_path = _cuda_toolkit_path(repository_ctx) - cuda_version = _cuda_version(repository_ctx, cuda_toolkit_path, cpu_value) - cudnn_install_basedir = _cudnn_install_basedir(repository_ctx) - cudnn_version = _cudnn_version(repository_ctx, cudnn_install_basedir, cpu_value) - return struct( - cuda_toolkit_path = cuda_toolkit_path, - cudnn_install_basedir = cudnn_install_basedir, - cuda_version = cuda_version, - cudnn_version = cudnn_version, - compute_capabilities = _compute_capabilities(repository_ctx), - cpu_value = cpu_value) - - -def _tpl(repository_ctx, tpl, substitutions={}, out=None): - if not out: - out = tpl.replace(":", "/") - repository_ctx.template( - out, - Label("//third_party/gpus/%s.tpl" % tpl), - substitutions) - + """Detects and returns information about the CUDA installation on the system. + + Args: + repository_ctx: The repository context. + + Returns: + A struct containing the following fields: + cuda_toolkit_path: The CUDA toolkit installation directory. + cudnn_install_basedir: The cuDNN installation directory. + cuda_version: The version of CUDA on the system. + cudnn_version: The version of cuDNN on the system. + compute_capabilities: A list of the system's CUDA compute capabilities. + cpu_value: The name of the host operating system. + """ + cpu_value = get_cpu_value(repository_ctx) + cuda_toolkit_path = _cuda_toolkit_path(repository_ctx) + cuda_version = _cuda_version(repository_ctx, cuda_toolkit_path, cpu_value) + cudnn_install_basedir = _cudnn_install_basedir(repository_ctx) + cudnn_version = _cudnn_version(repository_ctx, cudnn_install_basedir, cpu_value) + return struct( + cuda_toolkit_path = cuda_toolkit_path, + cudnn_install_basedir = cudnn_install_basedir, + cuda_version = cuda_version, + cudnn_version = cudnn_version, + compute_capabilities = _compute_capabilities(repository_ctx), + cpu_value = cpu_value, + ) + +def _tpl(repository_ctx, tpl, substitutions = {}, out = None): + if not out: + out = tpl.replace(":", "/") + repository_ctx.template( + out, + Label("//third_party/gpus/%s.tpl" % tpl), + substitutions, + ) def _file(repository_ctx, label): - repository_ctx.template( - label.replace(":", "/"), - Label("//third_party/gpus/%s.tpl" % label), - {}) - + repository_ctx.template( + label.replace(":", "/"), + Label("//third_party/gpus/%s.tpl" % label), + {}, + ) _DUMMY_CROSSTOOL_BZL_FILE = """ def error_gpu_disabled(): @@ -802,379 +949,498 @@ def error_gpu_disabled(): ) """ - _DUMMY_CROSSTOOL_BUILD_FILE = """ load("//crosstool:error_gpu_disabled.bzl", "error_gpu_disabled") error_gpu_disabled() """ - def _create_dummy_repository(repository_ctx): - cpu_value = get_cpu_value(repository_ctx) - - # Set up BUILD file for cuda/. - _tpl(repository_ctx, "cuda:build_defs.bzl", - { - "%{cuda_is_configured}": "False", - "%{cuda_extra_copts}": "[]", - }) - _tpl(repository_ctx, "cuda:BUILD", - { - "%{cuda_driver_lib}": _lib_name("cuda", cpu_value), - "%{cudart_static_lib}": _lib_name("cudart_static", cpu_value, - static=True), - "%{cudart_static_linkopt}": _cudart_static_linkopt(cpu_value), - "%{cudart_lib}": _lib_name("cudart", cpu_value), - "%{cublas_lib}": _lib_name("cublas", cpu_value), - "%{cusolver_lib}": _lib_name("cusolver", cpu_value), - "%{cudnn_lib}": _lib_name("cudnn", cpu_value), - "%{cufft_lib}": _lib_name("cufft", cpu_value), - "%{curand_lib}": _lib_name("curand", cpu_value), - "%{cupti_lib}": _lib_name("cupti", cpu_value), - "%{cuda_include_genrules}": '', - "%{cuda_headers}": '', - }) - - # Create dummy files for the CUDA toolkit since they are still required by - # tensorflow/core/platform/default/build_config:cuda. - repository_ctx.file("cuda/cuda/include/cuda.h", "") - repository_ctx.file("cuda/cuda/include/cublas.h", "") - repository_ctx.file("cuda/cuda/include/cudnn.h", "") - repository_ctx.file("cuda/cuda/extras/CUPTI/include/cupti.h", "") - repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cuda", cpu_value)) - repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cudart", cpu_value)) - repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cudart_static", cpu_value)) - repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cublas", cpu_value)) - repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cusolver", cpu_value)) - repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cudnn", cpu_value)) - repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("curand", cpu_value)) - repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cufft", cpu_value)) - repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cupti", cpu_value)) - - # Set up cuda_config.h, which is used by - # tensorflow/stream_executor/dso_loader.cc. - _tpl(repository_ctx, "cuda:cuda_config.h", - { - "%{cuda_version}": _DEFAULT_CUDA_VERSION, - "%{cudnn_version}": _DEFAULT_CUDNN_VERSION, - "%{cuda_compute_capabilities}": ",".join([ - "CudaVersion(\"%s\")" % c - for c in _DEFAULT_CUDA_COMPUTE_CAPABILITIES]), - "%{cuda_toolkit_path}": _DEFAULT_CUDA_TOOLKIT_PATH, - }, "cuda/cuda/cuda_config.h") - - # If cuda_configure is not configured to build with GPU support, and the user - # attempts to build with --config=cuda, add a dummy build rule to intercept - # this and fail with an actionable error message. - repository_ctx.file("crosstool/error_gpu_disabled.bzl", - _DUMMY_CROSSTOOL_BZL_FILE) - repository_ctx.file("crosstool/BUILD", _DUMMY_CROSSTOOL_BUILD_FILE) - - -def _execute(repository_ctx, cmdline, error_msg=None, error_details=None, - empty_stdout_fine=False): - """Executes an arbitrary shell command. - - Args: - repository_ctx: the repository_ctx object - cmdline: list of strings, the command to execute - error_msg: string, a summary of the error if the command fails - error_details: string, details about the error or steps to fix it - empty_stdout_fine: bool, if True, an empty stdout result is fine, otherwise - it's an error - Return: - the result of repository_ctx.execute(cmdline) - """ - result = repository_ctx.execute(cmdline) - if result.stderr or not (empty_stdout_fine or result.stdout): - auto_configure_fail( - "\n".join([ - error_msg.strip() if error_msg else "Repository command failed", - result.stderr.strip(), - error_details if error_details else ""])) - return result - + cpu_value = get_cpu_value(repository_ctx) + + # Set up BUILD file for cuda/. + _tpl( + repository_ctx, + "cuda:build_defs.bzl", + { + "%{cuda_is_configured}": "False", + "%{cuda_extra_copts}": "[]", + }, + ) + _tpl( + repository_ctx, + "cuda:BUILD", + { + "%{cuda_driver_lib}": _lib_name("cuda", cpu_value), + "%{cudart_static_lib}": _lib_name( + "cudart_static", + cpu_value, + static = True, + ), + "%{cudart_static_linkopt}": _cudart_static_linkopt(cpu_value), + "%{cudart_lib}": _lib_name("cudart", cpu_value), + "%{cublas_lib}": _lib_name("cublas", cpu_value), + "%{cusolver_lib}": _lib_name("cusolver", cpu_value), + "%{cudnn_lib}": _lib_name("cudnn", cpu_value), + "%{cufft_lib}": _lib_name("cufft", cpu_value), + "%{curand_lib}": _lib_name("curand", cpu_value), + "%{cupti_lib}": _lib_name("cupti", cpu_value), + "%{cuda_include_genrules}": "", + "%{cuda_headers}": "", + }, + ) + + # Create dummy files for the CUDA toolkit since they are still required by + # tensorflow/core/platform/default/build_config:cuda. + repository_ctx.file("cuda/cuda/include/cuda.h", "") + repository_ctx.file("cuda/cuda/include/cublas.h", "") + repository_ctx.file("cuda/cuda/include/cudnn.h", "") + repository_ctx.file("cuda/cuda/extras/CUPTI/include/cupti.h", "") + repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cuda", cpu_value)) + repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cudart", cpu_value)) + repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cudart_static", cpu_value)) + repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cublas", cpu_value)) + repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cusolver", cpu_value)) + repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cudnn", cpu_value)) + repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("curand", cpu_value)) + repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cufft", cpu_value)) + repository_ctx.file("cuda/cuda/lib/%s" % _lib_name("cupti", cpu_value)) + + # Set up cuda_config.h, which is used by + # tensorflow/stream_executor/dso_loader.cc. + _tpl( + repository_ctx, + "cuda:cuda_config.h", + { + "%{cuda_version}": _DEFAULT_CUDA_VERSION, + "%{cudnn_version}": _DEFAULT_CUDNN_VERSION, + "%{cuda_compute_capabilities}": ",".join([ + "CudaVersion(\"%s\")" % c + for c in _DEFAULT_CUDA_COMPUTE_CAPABILITIES + ]), + "%{cuda_toolkit_path}": _DEFAULT_CUDA_TOOLKIT_PATH, + }, + "cuda/cuda/cuda_config.h", + ) + + # If cuda_configure is not configured to build with GPU support, and the user + # attempts to build with --config=cuda, add a dummy build rule to intercept + # this and fail with an actionable error message. + repository_ctx.file( + "crosstool/error_gpu_disabled.bzl", + _DUMMY_CROSSTOOL_BZL_FILE, + ) + repository_ctx.file("crosstool/BUILD", _DUMMY_CROSSTOOL_BUILD_FILE) + +def _execute( + repository_ctx, + cmdline, + error_msg = None, + error_details = None, + empty_stdout_fine = False): + """Executes an arbitrary shell command. + + Args: + repository_ctx: the repository_ctx object + cmdline: list of strings, the command to execute + error_msg: string, a summary of the error if the command fails + error_details: string, details about the error or steps to fix it + empty_stdout_fine: bool, if True, an empty stdout result is fine, otherwise + it's an error + Return: + the result of repository_ctx.execute(cmdline) + """ + result = repository_ctx.execute(cmdline) + if result.stderr or not (empty_stdout_fine or result.stdout): + auto_configure_fail( + "\n".join([ + error_msg.strip() if error_msg else "Repository command failed", + result.stderr.strip(), + error_details if error_details else "", + ]), + ) + return result def _norm_path(path): - """Returns a path with '/' and remove the trailing slash.""" - path = path.replace("\\", "/") - if path[-1] == "/": - path = path[:-1] - return path - - -def symlink_genrule_for_dir(repository_ctx, src_dir, dest_dir, genrule_name, - src_files = [], dest_files = []): - """Returns a genrule to symlink(or copy if on Windows) a set of files. - - If src_dir is passed, files will be read from the given directory; otherwise - we assume files are in src_files and dest_files - """ - if src_dir != None: - src_dir = _norm_path(src_dir) - dest_dir = _norm_path(dest_dir) - files = '\n'.join(sorted(_read_dir(repository_ctx, src_dir).splitlines())) - # Create a list with the src_dir stripped to use for outputs. - dest_files = files.replace(src_dir, '').splitlines() - src_files = files.splitlines() - command = [] - if not _is_windows(repository_ctx): - # We clear folders that might have been generated previously to avoid - # undesired inclusions - command.append('if [ -d "$(@D)/extras" ]; then rm $(@D)/extras -drf; fi') - command.append('if [ -d "$(@D)/include" ]; then rm $(@D)/include -drf; fi') - command.append('if [ -d "$(@D)/lib" ]; then rm $(@D)/lib -drf; fi') - command.append('if [ -d "$(@D)/nvvm" ]; then rm $(@D)/nvvm -drf; fi') - outs = [] - for i in range(len(dest_files)): - if dest_files[i] != "": - # If we have only one file to link we do not want to use the dest_dir, as - # $(@D) will include the full path to the file. - dest = '$(@D)/' + dest_dir + dest_files[i] if len(dest_files) != 1 else '$(@D)/' + dest_files[i] - # On Windows, symlink is not supported, so we just copy all the files. - cmd = 'cp -f' if _is_windows(repository_ctx) else 'ln -s' - command.append(cmd + ' "%s" "%s"' % (src_files[i] , dest)) - outs.append(' "' + dest_dir + dest_files[i] + '",') - genrule = _genrule(src_dir, genrule_name, " && ".join(command), - "\n".join(outs)) - return genrule - + """Returns a path with '/' and remove the trailing slash.""" + path = path.replace("\\", "/") + if path[-1] == "/": + path = path[:-1] + return path + +def symlink_genrule_for_dir( + repository_ctx, + src_dir, + dest_dir, + genrule_name, + src_files = [], + dest_files = []): + """Returns a genrule to symlink(or copy if on Windows) a set of files. + + If src_dir is passed, files will be read from the given directory; otherwise + we assume files are in src_files and dest_files + """ + if src_dir != None: + src_dir = _norm_path(src_dir) + dest_dir = _norm_path(dest_dir) + files = "\n".join(sorted(_read_dir(repository_ctx, src_dir).splitlines())) + + # Create a list with the src_dir stripped to use for outputs. + dest_files = files.replace(src_dir, "").splitlines() + src_files = files.splitlines() + command = [] + if not _is_windows(repository_ctx): + # We clear folders that might have been generated previously to avoid + # undesired inclusions + command.append('if [ -d "$(@D)/extras" ]; then rm $(@D)/extras -drf; fi') + command.append('if [ -d "$(@D)/include" ]; then rm $(@D)/include -drf; fi') + command.append('if [ -d "$(@D)/lib" ]; then rm $(@D)/lib -drf; fi') + command.append('if [ -d "$(@D)/nvvm" ]; then rm $(@D)/nvvm -drf; fi') + outs = [] + for i in range(len(dest_files)): + if dest_files[i] != "": + # If we have only one file to link we do not want to use the dest_dir, as + # $(@D) will include the full path to the file. + dest = "$(@D)/" + dest_dir + dest_files[i] if len(dest_files) != 1 else "$(@D)/" + dest_files[i] + + # On Windows, symlink is not supported, so we just copy all the files. + cmd = "cp -f" if _is_windows(repository_ctx) else "ln -s" + command.append(cmd + ' "%s" "%s"' % (src_files[i], dest)) + outs.append(' "' + dest_dir + dest_files[i] + '",') + genrule = _genrule( + src_dir, + genrule_name, + " && ".join(command), + "\n".join(outs), + ) + return genrule def _genrule(src_dir, genrule_name, command, outs): - """Returns a string with a genrule. - - Genrule executes the given command and produces the given outputs. - """ - return ( - 'genrule(\n' + - ' name = "' + - genrule_name + '",\n' + - ' outs = [\n' + - outs + - '\n ],\n' + - ' cmd = """\n' + - command + - '\n """,\n' + - ')\n' - ) + """Returns a string with a genrule. + Genrule executes the given command and produces the given outputs. + """ + return ( + "genrule(\n" + + ' name = "' + + genrule_name + '",\n' + + " outs = [\n" + + outs + + "\n ],\n" + + ' cmd = """\n' + + command + + '\n """,\n' + + ")\n" + ) def _read_dir(repository_ctx, src_dir): - """Returns a string with all files in a directory. - - Finds all files inside a directory, traversing subfolders and following - symlinks. The returned string contains the full path of all files - separated by line breaks. - """ - if _is_windows(repository_ctx): - src_dir = src_dir.replace("/", "\\") - find_result = _execute( - repository_ctx, ["cmd.exe", "/c", "dir", src_dir, "/b", "/s", "/a-d"], - empty_stdout_fine=True) - # src_files will be used in genrule.outs where the paths must - # use forward slashes. - result = find_result.stdout.replace("\\", "/") - else: - find_result = _execute( - repository_ctx, ["find", src_dir, "-follow", "-type", "f"], - empty_stdout_fine=True) - result = find_result.stdout - return result + """Returns a string with all files in a directory. + + Finds all files inside a directory, traversing subfolders and following + symlinks. The returned string contains the full path of all files + separated by line breaks. + """ + if _is_windows(repository_ctx): + src_dir = src_dir.replace("/", "\\") + find_result = _execute( + repository_ctx, + ["cmd.exe", "/c", "dir", src_dir, "/b", "/s", "/a-d"], + empty_stdout_fine = True, + ) + + # src_files will be used in genrule.outs where the paths must + # use forward slashes. + result = find_result.stdout.replace("\\", "/") + else: + find_result = _execute( + repository_ctx, + ["find", src_dir, "-follow", "-type", "f"], + empty_stdout_fine = True, + ) + result = find_result.stdout + return result def _flag_enabled(repository_ctx, flag_name): - if flag_name in repository_ctx.os.environ: - value = repository_ctx.os.environ[flag_name].strip() - return value == "1" - return False + if flag_name in repository_ctx.os.environ: + value = repository_ctx.os.environ[flag_name].strip() + return value == "1" + return False def _use_cuda_clang(repository_ctx): - return _flag_enabled(repository_ctx, "TF_CUDA_CLANG") + return _flag_enabled(repository_ctx, "TF_CUDA_CLANG") def _compute_cuda_extra_copts(repository_ctx, compute_capabilities): - if _use_cuda_clang(repository_ctx): - capability_flags = ["--cuda-gpu-arch=sm_" + - cap.replace(".", "") for cap in compute_capabilities] - else: - # Capabilities are handled in the "crosstool_wrapper_driver_is_not_gcc" for nvcc - capability_flags = [] - return str(capability_flags) + if _use_cuda_clang(repository_ctx): + capability_flags = ["--cuda-gpu-arch=sm_" + + cap.replace(".", "") for cap in compute_capabilities] + else: + # Capabilities are handled in the "crosstool_wrapper_driver_is_not_gcc" for nvcc + capability_flags = [] + return str(capability_flags) def _create_local_cuda_repository(repository_ctx): - """Creates the repository containing files set up to build with CUDA.""" - cuda_config = _get_cuda_config(repository_ctx) - - cuda_include_path = _find_cuda_include_path(repository_ctx, cuda_config) - cudnn_header_dir = _find_cudnn_header_dir(repository_ctx, - cuda_config.cudnn_install_basedir) - cupti_header_dir = _find_cupti_header_dir(repository_ctx, cuda_config) - nvvm_libdevice_dir = _find_nvvm_libdevice_dir(repository_ctx, cuda_config) - - # Set up symbolic links for the cuda toolkit by creating genrules to do - # symlinking. We create one genrule for each directory we want to track under - # cuda_toolkit_path - cuda_toolkit_path = cuda_config.cuda_toolkit_path - genrules = [symlink_genrule_for_dir(repository_ctx, - cuda_include_path, "cuda/include", "cuda-include")] - genrules.append(symlink_genrule_for_dir(repository_ctx, - nvvm_libdevice_dir, "cuda/nvvm/libdevice", "cuda-nvvm")) - genrules.append(symlink_genrule_for_dir(repository_ctx, - cupti_header_dir, "cuda/extras/CUPTI/include", "cuda-extras")) - - cuda_libs = _find_libs(repository_ctx, cuda_config) - cuda_lib_src = [] - cuda_lib_dest = [] - for lib in cuda_libs.values(): - cuda_lib_src.append(lib.path) - cuda_lib_dest.append("cuda/lib/" + lib.file_name) - genrules.append(symlink_genrule_for_dir(repository_ctx, None, "", "cuda-lib", - cuda_lib_src, cuda_lib_dest)) - - # Set up the symbolic links for cudnn if cndnn was not installed to - # CUDA_TOOLKIT_PATH. - included_files = _read_dir(repository_ctx, cuda_include_path).replace( - cuda_include_path, '').splitlines() - if '/cudnn.h' not in included_files: - genrules.append(symlink_genrule_for_dir(repository_ctx, None, - "cuda/include/", "cudnn-include", [cudnn_header_dir + "/cudnn.h"], - ["cudnn.h"])) - else: - genrules.append( - 'filegroup(\n' + + """Creates the repository containing files set up to build with CUDA.""" + cuda_config = _get_cuda_config(repository_ctx) + + cuda_include_path = _find_cuda_include_path(repository_ctx, cuda_config) + cudnn_header_dir = _find_cudnn_header_dir( + repository_ctx, + cuda_config.cudnn_install_basedir, + ) + cupti_header_dir = _find_cupti_header_dir(repository_ctx, cuda_config) + nvvm_libdevice_dir = _find_nvvm_libdevice_dir(repository_ctx, cuda_config) + + # Set up symbolic links for the cuda toolkit by creating genrules to do + # symlinking. We create one genrule for each directory we want to track under + # cuda_toolkit_path + cuda_toolkit_path = cuda_config.cuda_toolkit_path + genrules = [symlink_genrule_for_dir( + repository_ctx, + cuda_include_path, + "cuda/include", + "cuda-include", + )] + genrules.append(symlink_genrule_for_dir( + repository_ctx, + nvvm_libdevice_dir, + "cuda/nvvm/libdevice", + "cuda-nvvm", + )) + genrules.append(symlink_genrule_for_dir( + repository_ctx, + cupti_header_dir, + "cuda/extras/CUPTI/include", + "cuda-extras", + )) + + cuda_libs = _find_libs(repository_ctx, cuda_config) + cuda_lib_src = [] + cuda_lib_dest = [] + for lib in cuda_libs.values(): + cuda_lib_src.append(lib.path) + cuda_lib_dest.append("cuda/lib/" + lib.file_name) + genrules.append(symlink_genrule_for_dir( + repository_ctx, + None, + "", + "cuda-lib", + cuda_lib_src, + cuda_lib_dest, + )) + + # Set up the symbolic links for cudnn if cndnn was not installed to + # CUDA_TOOLKIT_PATH. + included_files = _read_dir(repository_ctx, cuda_include_path).replace( + cuda_include_path, + "", + ).splitlines() + if "/cudnn.h" not in included_files: + genrules.append(symlink_genrule_for_dir( + repository_ctx, + None, + "cuda/include/", + "cudnn-include", + [cudnn_header_dir + "/cudnn.h"], + ["cudnn.h"], + )) + else: + genrules.append( + "filegroup(\n" + ' name = "cudnn-include",\n' + - ' srcs = [],\n' + - ')\n' + " srcs = [],\n" + + ")\n", ) - # Set up BUILD file for cuda/ - _tpl(repository_ctx, "cuda:build_defs.bzl", - { - "%{cuda_is_configured}": "True", - "%{cuda_extra_copts}": _compute_cuda_extra_copts( - repository_ctx, cuda_config.compute_capabilities), - }) - _tpl(repository_ctx, "cuda:BUILD", - { - "%{cuda_driver_lib}": cuda_libs["cuda"].file_name, - "%{cudart_static_lib}": cuda_libs["cudart_static"].file_name, - "%{cudart_static_linkopt}": _cudart_static_linkopt( - cuda_config.cpu_value), - "%{cudart_lib}": cuda_libs["cudart"].file_name, - "%{cublas_lib}": cuda_libs["cublas"].file_name, - "%{cusolver_lib}": cuda_libs["cusolver"].file_name, - "%{cudnn_lib}": cuda_libs["cudnn"].file_name, - "%{cufft_lib}": cuda_libs["cufft"].file_name, - "%{curand_lib}": cuda_libs["curand"].file_name, - "%{cupti_lib}": cuda_libs["cupti"].file_name, - "%{cuda_include_genrules}": "\n".join(genrules), - "%{cuda_headers}": ('":cuda-include",\n' + - ' ":cudnn-include",') - }) - - is_cuda_clang = _use_cuda_clang(repository_ctx) - - should_download_clang = is_cuda_clang and _flag_enabled( - repository_ctx, _TF_DOWNLOAD_CLANG) - if should_download_clang: - download_clang(repository_ctx, "crosstool/extra_tools") - - # Set up crosstool/ - cc = find_cc(repository_ctx) - cc_fullpath = cc if not should_download_clang else "crosstool/" + cc - - host_compiler_includes = _host_compiler_includes(repository_ctx, cc_fullpath) - cuda_defines = {} - if is_cuda_clang: - cuda_defines["%{host_compiler_path}"] = str(cc) - cuda_defines["%{host_compiler_warnings}"] = """ + # Set up BUILD file for cuda/ + _tpl( + repository_ctx, + "cuda:build_defs.bzl", + { + "%{cuda_is_configured}": "True", + "%{cuda_extra_copts}": _compute_cuda_extra_copts( + repository_ctx, + cuda_config.compute_capabilities, + ), + }, + ) + _tpl( + repository_ctx, + "cuda:BUILD.windows" if _is_windows(repository_ctx) else "cuda:BUILD", + { + "%{cuda_driver_lib}": cuda_libs["cuda"].file_name, + "%{cudart_static_lib}": cuda_libs["cudart_static"].file_name, + "%{cudart_static_linkopt}": _cudart_static_linkopt( + cuda_config.cpu_value, + ), + "%{cudart_lib}": cuda_libs["cudart"].file_name, + "%{cublas_lib}": cuda_libs["cublas"].file_name, + "%{cusolver_lib}": cuda_libs["cusolver"].file_name, + "%{cudnn_lib}": cuda_libs["cudnn"].file_name, + "%{cufft_lib}": cuda_libs["cufft"].file_name, + "%{curand_lib}": cuda_libs["curand"].file_name, + "%{cupti_lib}": cuda_libs["cupti"].file_name, + "%{cuda_include_genrules}": "\n".join(genrules), + "%{cuda_headers}": ('":cuda-include",\n' + + ' ":cudnn-include",'), + }, + "cuda/BUILD", + ) + + is_cuda_clang = _use_cuda_clang(repository_ctx) + + should_download_clang = is_cuda_clang and _flag_enabled( + repository_ctx, + _TF_DOWNLOAD_CLANG, + ) + if should_download_clang: + download_clang(repository_ctx, "crosstool/extra_tools") + + # Set up crosstool/ + cc = find_cc(repository_ctx) + cc_fullpath = cc if not should_download_clang else "crosstool/" + cc + + host_compiler_includes = _host_compiler_includes(repository_ctx, cc_fullpath) + cuda_defines = {} + if is_cuda_clang: + cuda_defines["%{host_compiler_path}"] = str(cc) + cuda_defines["%{host_compiler_warnings}"] = """ # Some parts of the codebase set -Werror and hit this warning, so # switch it off for now. flag: "-Wno-invalid-partial-specialization" """ - cuda_defines["%{host_compiler_includes}"] = host_compiler_includes - _tpl(repository_ctx, "crosstool:BUILD", {"%{linker_files}": ":empty"}) - repository_ctx.file("crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc", "") - else: - cuda_defines["%{host_compiler_path}"] = "clang/bin/crosstool_wrapper_driver_is_not_gcc" - cuda_defines["%{host_compiler_warnings}"] = "" - # TODO(klimek): We currently need to inject "/" as builtin directory path - # to disable bazel's dependency checks. - # The problem is that: - # - the python rules symlink the python headers into the bazel root - # - the rules use 'includes' in the BUILD file to redirect includes of the - # python headers through those paths - # - bazel currently uses -isystem for include paths specified via 'includes' - # - gcc follows symlinks when resolving files via -isystem paths, and puts - # the resolved paths into the .d file, which makes the dependency check - # fail for bazel - # There are multiple possible ways to solve this: - # 1. make bazel not use -isystem for paths specified via 'includes' - # 2. cp the headers instead of symlinking them - # - # Once this is fixed, the right builtin directory path is: - # (host_compiler_includes + - # "\n cxx_builtin_include_directory: \"%s\"" % cuda_include_path) - # The cuda directory needs to be passed, as there is currently no rule - # providing the cuda headers in the same way the python headers are - # provided. - cuda_defines["%{host_compiler_includes}"] = "\n cxx_builtin_include_directory: \"/\"" - nvcc_path = str(repository_ctx.path("%s/bin/nvcc%s" % - (cuda_config.cuda_toolkit_path, - ".exe" if cuda_config.cpu_value == "Windows" else ""))) - _tpl(repository_ctx, "crosstool:BUILD", - {"%{linker_files}": ":crosstool_wrapper_driver_is_not_gcc"}) - _tpl(repository_ctx, - "crosstool:clang/bin/crosstool_wrapper_driver_is_not_gcc", - { - "%{cpu_compiler}": str(cc), - "%{cuda_version}": cuda_config.cuda_version, - "%{nvcc_path}": nvcc_path, - "%{gcc_host_compiler_path}": str(cc), - "%{cuda_compute_capabilities}": ", ".join( - ["\"%s\"" % c for c in cuda_config.compute_capabilities]), - }) - _tpl(repository_ctx, "crosstool:CROSSTOOL", cuda_defines, out="crosstool/CROSSTOOL") - - # Set up cuda_config.h, which is used by - # tensorflow/stream_executor/dso_loader.cc. - _tpl(repository_ctx, "cuda:cuda_config.h", - { - "%{cuda_version}": cuda_config.cuda_version, - "%{cudnn_version}": cuda_config.cudnn_version, - "%{cuda_compute_capabilities}": ",".join( - ["CudaVersion(\"%s\")" % c - for c in cuda_config.compute_capabilities]), - "%{cuda_toolkit_path}": cuda_config.cuda_toolkit_path, - }, "cuda/cuda/cuda_config.h") + cuda_defines["%{host_compiler_includes}"] = host_compiler_includes + _tpl(repository_ctx, "crosstool:BUILD", {"%{linker_files}": ":empty", "%{win_linker_files}": ":empty"}) + repository_ctx.file("crosstool/clang/bin/crosstool_wrapper_driver_is_not_gcc", "") + repository_ctx.file("crosstool/windows/msvc_wrapper_for_nvcc.py", "") + repository_ctx.file("crosstool/windows/msvc_wrapper_for_nvcc.bat", "") + else: + cuda_defines["%{host_compiler_path}"] = "clang/bin/crosstool_wrapper_driver_is_not_gcc" + cuda_defines["%{host_compiler_warnings}"] = "" + + # TODO(klimek): We currently need to inject "/" as builtin directory path + # to disable bazel's dependency checks. + # The problem is that: + # - the python rules symlink the python headers into the bazel root + # - the rules use 'includes' in the BUILD file to redirect includes of the + # python headers through those paths + # - bazel currently uses -isystem for include paths specified via 'includes' + # - gcc follows symlinks when resolving files via -isystem paths, and puts + # the resolved paths into the .d file, which makes the dependency check + # fail for bazel + # There are multiple possible ways to solve this: + # 1. make bazel not use -isystem for paths specified via 'includes' + # 2. cp the headers instead of symlinking them + # + # Once this is fixed, the right builtin directory path is: + # (host_compiler_includes + + # "\n cxx_builtin_include_directory: \"%s\"" % cuda_include_path) + # The cuda directory needs to be passed, as there is currently no rule + # providing the cuda headers in the same way the python headers are + # provided. + cuda_defines["%{host_compiler_includes}"] = "\n cxx_builtin_include_directory: \"/\"" + nvcc_path = str(repository_ctx.path("%s/bin/nvcc%s" % + ( + cuda_config.cuda_toolkit_path, + ".exe" if _is_windows(repository_ctx) else "", + ))) + _tpl( + repository_ctx, + "crosstool:BUILD", + { + "%{linker_files}": ":crosstool_wrapper_driver_is_not_gcc", + "%{win_linker_files}": ":windows_msvc_wrapper_files", + }, + ) + wrapper_defines = { + "%{cpu_compiler}": str(cc), + "%{cuda_version}": cuda_config.cuda_version, + "%{nvcc_path}": nvcc_path, + "%{gcc_host_compiler_path}": str(cc), + "%{cuda_compute_capabilities}": ", ".join( + ["\"%s\"" % c for c in cuda_config.compute_capabilities], + ), + "%{nvcc_tmp_dir}": _get_nvcc_tmp_dir_for_windows(repository_ctx), + } + _tpl( + repository_ctx, + "crosstool:clang/bin/crosstool_wrapper_driver_is_not_gcc", + wrapper_defines, + ) + _tpl( + repository_ctx, + "crosstool:windows/msvc_wrapper_for_nvcc.py", + wrapper_defines, + ) + _tpl( + repository_ctx, + "crosstool:windows/msvc_wrapper_for_nvcc.bat", + { + "%{python_binary}": _get_python_bin(repository_ctx), + }, + ) + + _tpl( + repository_ctx, + "crosstool:CROSSTOOL", + cuda_defines + _get_win_cuda_defines(repository_ctx), + out = "crosstool/CROSSTOOL", + ) + + # Set up cuda_config.h, which is used by + # tensorflow/stream_executor/dso_loader.cc. + _tpl( + repository_ctx, + "cuda:cuda_config.h", + { + "%{cuda_version}": cuda_config.cuda_version, + "%{cudnn_version}": cuda_config.cudnn_version, + "%{cuda_compute_capabilities}": ",".join( + [ + "CudaVersion(\"%s\")" % c + for c in cuda_config.compute_capabilities + ], + ), + "%{cuda_toolkit_path}": cuda_config.cuda_toolkit_path, + }, + "cuda/cuda/cuda_config.h", + ) def _create_remote_cuda_repository(repository_ctx, remote_config_repo): - """Creates pointers to a remotely configured repo set up to build with CUDA.""" - _tpl(repository_ctx, "cuda:build_defs.bzl", - { - "%{cuda_is_configured}": "True", - "%{cuda_extra_copts}": _compute_cuda_extra_copts( - repository_ctx, _compute_capabilities(repository_ctx)), - - }) - _tpl(repository_ctx, "cuda:remote.BUILD", - { - "%{remote_cuda_repo}": remote_config_repo, - }, "cuda/BUILD") - _tpl(repository_ctx, "crosstool:remote.BUILD", { - "%{remote_cuda_repo}": remote_config_repo, - }, "crosstool/BUILD") + """Creates pointers to a remotely configured repo set up to build with CUDA.""" + _tpl( + repository_ctx, + "cuda:build_defs.bzl", + { + "%{cuda_is_configured}": "True", + "%{cuda_extra_copts}": _compute_cuda_extra_copts( + repository_ctx, + _compute_capabilities(repository_ctx), + ), + }, + ) + _tpl( + repository_ctx, + "cuda:remote.BUILD", + { + "%{remote_cuda_repo}": remote_config_repo, + }, + "cuda/BUILD", + ) + _tpl(repository_ctx, "crosstool:remote.BUILD", { + "%{remote_cuda_repo}": remote_config_repo, + }, "crosstool/BUILD") def _cuda_autoconf_impl(repository_ctx): - """Implementation of the cuda_autoconf repository rule.""" - if not _enable_cuda(repository_ctx): - _create_dummy_repository(repository_ctx) - else: - if _TF_CUDA_CONFIG_REPO in repository_ctx.os.environ: - _create_remote_cuda_repository(repository_ctx, - repository_ctx.os.environ[_TF_CUDA_CONFIG_REPO]) + """Implementation of the cuda_autoconf repository rule.""" + if not _enable_cuda(repository_ctx): + _create_dummy_repository(repository_ctx) + elif _TF_CUDA_CONFIG_REPO in repository_ctx.os.environ: + _create_remote_cuda_repository( + repository_ctx, + repository_ctx.os.environ[_TF_CUDA_CONFIG_REPO], + ) else: - _create_local_cuda_repository(repository_ctx) - + _create_local_cuda_repository(repository_ctx) cuda_configure = repository_rule( implementation = _cuda_autoconf_impl, @@ -1191,6 +1457,7 @@ cuda_configure = repository_rule( _TF_CUDA_COMPUTE_CAPABILITIES, _TF_CUDA_CONFIG_REPO, "NVVMIR_LIBRARY_DIR", + _PYTHON_BIN_PATH, ], ) |